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An algorithm for detecting moving IR point target in complex background is proposed,which is based on the Reverse Phase Feature of Neighborhood of target in difference between neighbor frame images that two positions of the target in the difference image are near and the gray value s of them are close to in absolute value but with inverse sign.

基于运动点目标在邻帧差分图像中所具有的近邻反相特征,即运动点目标的两个位置相邻近、灰度值一正一负,提出一种在复杂背景下,基于红外序列图像的运动点目标检测算法。

An algorithm for detecting moving IR point target in complex background is proposed,which is based on the Reverse Phase Feature of Neighborhood of target in difference between neighbor frame images that two positions of the target in the difference image are near and the gray values of them are close to in absolute value but with inverse sign.

朱风云 ,秦世引基于运动点目标在邻帧差分图像中所具有的近邻反相特征,即运动点目标的两个位置相邻近、灰度值一正一负,提出一种在复杂背景下,基于红外序列图像的运动点目标检测算法。

On the basis of the expression of characteristic value of the differential equation,the relationship between the stable domain,steady state,steady-state error and AGC model parameters is discussed.

根据该差分方程的特征值。达式讨论了AGC模型设定序列的稳定区域和稳态误差与AGC模型参数之间的关系。

Because the time series generated from finite difference equation with chaos may also possess exponential distribution of probability density. Additionally, irregular dynamics has ever been attributed to the presence of stochastic noise in many systems, but actually it may result from chaotic process in deterministic system.

近年来对非线性动力系统的深入研究发现:观察到某一过程具有指数型概率密度事件分布并不足以确定它就是泊松过程,由具有混沌行为的有限差分方程所产生的时间序列也可具有指数型概率密度分布;在许多系统中,过去归因于随机噪声的不规则动力学特性,实际上很有可能是由确定性系统中的混沌过程所致。

Meanwhile,comparing the traditional background image segmentation,sequence image difference plays an important role in the backgroun...

其中,与传统的车型背景分离法相比,序列图像差分对汽车从实际背景中分离出来起着重要的作用,达到了很好的分离效果。

In moving and change detection, an algorithm is put forward which combines the advantages of background difference and sequence difference, in order to detect moving and changing objects in sequential images.

在运动检测中,结合了背景差分和时间差分的优点,检测出视频序列图像中的运动变化物体。

It presents a novel hypothesis that the limit angle of the opposite phyllotaxis in plants is a πω2 by the theory of analogy at first time.

采用差分方程理论和互生植物叶序分数序列的极限ω2 导出植物对生叶序序列和叶序分数。

Then the paper presents the fractional differenced noise model and the autoregressive fractional integrated moving average model. It compared traditional time series models with ARFIMA model.

接着介绍了能描述长记忆性的分数差分噪声模型和分整自回归移动平均模型,并将传统时间序列模型和ARFIMA模型进行比较。

In this article we propose the use of a version of the tests of Robinson for testing the fractional differencing parameter in financial time series data to test the long memory of Chinese market .

本文详细介绍了Robinson 提出的一种新的对金融时间序列的分形差分参数进行检验的方法,并首先将其运用在对中国证券市场的长期记忆性进行的实证研究中。

By using the Rescaling Range analysis(R/S analysis),we analyse the multi-fractal features in the system of Shanghai and Shenzhen Stock Market Composite Index.We estimate the Hurst exponents in the above mentioned system.

本文根据沪、深两市综合指数收益率的真实时间序列,通过应用重标极差分分析法分析了沪、深股市中存在的分形特征,并得到了两个市场的Hurst指数。

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